Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.13091/1074
Title: Design of real time image processing machine for carrot classification
Other Titles: Havuç sınıflandırması için gerçek zamanlı görüntü işleme makinesi tasarımı
Authors: Örnek, Mustafa Nevzat
Hacıseferoğullari, H.
Keywords: Agricultural automation
Carrot
Fruit classification
Image processing
Real-time
Issue Date: 2020
Publisher: Centenary University
Abstract: Kasınhanı district of Konya province has the greatest carrot production in Turkey. By the year 2017, Konya Province has approximately 46.5% of carrot production areas and 59.7% of total production. There are several washing and packing facilities in the region. These facilities show totally similar features and fully satisfy the needs of the region. Carrots coming from the washing pools come firstly to the mechanical grading machines and then to the packing department or directly to the packing department in some facilities. Grading and packing processes are carried out manually in these facilities. The classification efficiency of mechanical classification machines is known to be insufficient. In this study, mechanical, electronic and software sections of the real-time image processing machine are explained. The system was composed of a belt conveyor, cameras and closed chamber to receive images, image processing and control computer and routing covers attached to servo motors. As a result of the experiments, carrot classification rates ranged from 80.14 to 100% in real-time image processing machine. © 2020, Centenary University. All rights reserved.
URI: https://doi.org/10.29133/yyutbd.685425
https://hdl.handle.net/20.500.13091/1074
ISSN: 1308-7576
Appears in Collections:Mühendislik ve Doğa Bilimleri Fakültesi Koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collections

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